{"id":"https://openalex.org/W4381389689","doi":"https://doi.org/10.1145/3587828.3587830","title":"Improving the Efficiency of Link Prediction on Handling Incomplete Knowledge Graph Using Clustering","display_name":"Improving the Efficiency of Link Prediction on Handling Incomplete Knowledge Graph Using Clustering","publication_year":2023,"publication_date":"2023-02-23","ids":{"openalex":"https://openalex.org/W4381389689","doi":"https://doi.org/10.1145/3587828.3587830"},"language":"en","primary_location":{"id":"doi:10.1145/3587828.3587830","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3587828.3587830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 12th International Conference on Software and Computer Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083603011","display_name":"Fitri Susanti","orcid":"https://orcid.org/0009-0002-3160-9647"},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Fitri Susanti","raw_affiliation_strings":["School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia"],"raw_orcid":"https://orcid.org/0009-0002-3160-9647","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017613002","display_name":"Nur Ulfa Maulidevi","orcid":"https://orcid.org/0000-0001-6624-4153"},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Nur Ulfa Maulidevi","raw_affiliation_strings":["School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia"],"raw_orcid":"https://orcid.org/0000-0001-6624-4153","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071778708","display_name":"Kridanto Surendro","orcid":"https://orcid.org/0000-0003-1705-1202"},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Kridanto Surendro","raw_affiliation_strings":["School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia"],"raw_orcid":"https://orcid.org/0000-0003-1705-1202","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083603011"],"corresponding_institution_ids":["https://openalex.org/I134635517"],"apc_list":null,"apc_paid":null,"fwci":0.1704,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54047006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7207175493240356},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.677753210067749},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6172388792037964},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.6090085506439209},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5335280299186707},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4835757613182068},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.42072999477386475},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35140907764434814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3464905619621277},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2603112459182739}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7207175493240356},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.677753210067749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6172388792037964},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.6090085506439209},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5335280299186707},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4835757613182068},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.42072999477386475},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35140907764434814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3464905619621277},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2603112459182739},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3587828.3587830","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3587828.3587830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 12th International Conference on Software and Computer Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W143174683","https://openalex.org/W205829674","https://openalex.org/W599484887","https://openalex.org/W1533230146","https://openalex.org/W2073587810","https://openalex.org/W2127795553","https://openalex.org/W2128407051","https://openalex.org/W2283196293","https://openalex.org/W2404374318","https://openalex.org/W2621591459","https://openalex.org/W2728059831","https://openalex.org/W2759045585","https://openalex.org/W2759136286","https://openalex.org/W2778810234","https://openalex.org/W2810583043","https://openalex.org/W2900611605","https://openalex.org/W2908230750","https://openalex.org/W2912500072","https://openalex.org/W2914914274","https://openalex.org/W2949972983","https://openalex.org/W2963224980","https://openalex.org/W2971174814","https://openalex.org/W3003265726","https://openalex.org/W3034833075","https://openalex.org/W3080560097","https://openalex.org/W3095940986","https://openalex.org/W3120491054","https://openalex.org/W3122143029","https://openalex.org/W3123448669","https://openalex.org/W3138149011","https://openalex.org/W3155676782","https://openalex.org/W3155975215","https://openalex.org/W3161419939","https://openalex.org/W3176869355","https://openalex.org/W3187064824","https://openalex.org/W3199612398","https://openalex.org/W3207040866","https://openalex.org/W3216672100","https://openalex.org/W4211245372","https://openalex.org/W4213418104","https://openalex.org/W4229455499","https://openalex.org/W4238748463","https://openalex.org/W4281776285","https://openalex.org/W4281935531","https://openalex.org/W4391250432"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2085630472","https://openalex.org/W1977098485","https://openalex.org/W4285201053","https://openalex.org/W2753779043"],"abstract_inverted_index":{"A":[0,57],"knowledge":[1,8],"graph":[2],"(KG)":[3],"is":[4,34,54,59,64,95,116,122,158,177,192,224,242],"used":[5,36,193],"to":[6,91,96,103,138,149,168,179,182,194,210,245],"store":[7],"in":[9,16,20,37,111,217,250],"the":[10,21,80,87,92,105,118,154,170,184,187,196,200,230,248,251],"form":[11,22],"of":[12,23,82,120,125,129,186,232],"connected":[13],"facts.":[14],"Facts":[15],"KG":[17,33,53,58,73,94,121,135,146,172],"are":[18,203,214,220],"represented":[19],"a":[24,49,65,83,112],"triple":[25],"(subject,":[26],"predicate,":[27],"object)":[28],"or":[29,127],"(head,":[30],"relation,":[31],"tail).":[32],"widely":[35],"question":[38],"answering,":[39],"information":[40],"retrieval,":[41],"classification,":[42],"recommender":[43],"systems,":[44],"and":[45,131,206],"so":[46,152],"on.":[47],"However,":[48],"common":[50],"problem":[51,115],"with":[52,227],"incomplete":[55,61,72,93,171],"KG.":[56,88,113],"called":[60],"if":[62],"there":[63,241],"missing":[66,106,212],"relationship":[67,107],"between":[68,108],"two":[69,109],"entities.":[70],"An":[71],"can":[74,236],"have":[75],"an":[76],"impact":[77],"on":[78,144],"decreasing":[79],"accuracy":[81],"task":[84],"that":[85,117,153,219,226],"uses":[86],"One":[89],"solution":[90],"use":[97,180],"link":[98,142,155,164,188,233],"prediction.":[99],"Link":[100],"prediction":[101,143,156,165,189,234],"aims":[102],"predict":[104,211],"entities":[110,130],"Another":[114],"size":[119],"large,":[123],"consisting":[124],"hundreds":[126],"millions":[128],"relationships.":[132],"Handling":[133],"large":[134,145],"also":[136,147],"needs":[137,148],"be":[139,150,237],"considered.":[140],"Therefore,":[141],"considered":[151,221],"process":[157,235],"more":[159,238],"efficient.":[160],"This":[161],"paper":[162],"discusses":[163],"using":[166],"embedding":[167,197,201,252],"overcome":[169],"problem.":[173],"In":[174],"addition,":[175],"it":[176],"proposed":[178],"clustering":[181],"increase":[183],"efficiency":[185],"process.":[190],"Clustering":[191],"group":[195],"results.":[198],"After":[199],"results":[202],"grouped,":[204],"scoring":[205],"loss":[207],"function":[208],"calculations":[209],"links":[213],"carried":[215],"out":[216],"groups":[218],"appropriate.":[222],"It":[223],"expected":[225],"this":[228],"grouping,":[229],"time":[231],"efficient":[239],"because":[240],"no":[243],"need":[244],"check":[246],"all":[247],"vectors":[249],"space.":[253]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}